Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Spain
- Portugal
- Netherlands
- Denmark
- Singapore
- Belgium
- Poland
- Australia
- Norway
- United Arab Emirates
- Canada
- Luxembourg
- Austria
- Switzerland
- Italy
- Finland
- Morocco
- Czech
- Ireland
- Romania
- China
- Croatia
- Greece
- Hong Kong
- Bulgaria
- Cyprus
- New Zealand
- Estonia
- Worldwide
- Japan
- Latvia
- Lithuania
- Slovenia
- Vietnam
- Barbados
- Brazil
- India
- Israel
- Kenya
- Kuwait
- Malta
- Saudi Arabia
- Slovakia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Business
- Biology
- Science
- Materials Science
- Education
- Mathematics
- Arts and Literature
- Law
- Humanities
- Psychology
- Chemistry
- Social Sciences
- Earth Sciences
- Electrical Engineering
- Environment
- Linguistics
- Design
- Philosophy
- Sports and Recreation
- Physics
- Statistics
- 15 more »
- « less
-
the dedicated section here: https://www.iit.it/en/work-at-iit Where to apply Website https://app.ncoreplat.com/jobsharingredirect/777388/generative-ai-machine-learn… Requirements Additional Information STATUS
-
for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr
-
past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
-
machine learning, deep learning, or data assimilation. Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.). Demonstrated publication
-
well as a freely moving arena. A significant component of the work focuses on training animals and collecting both behavioral and neural data using an array of tools with a focus on telemetry and wireless
-
Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
-
using automatic speech tools and LLMs” and “Cognitive investigations of Translation/Revision/PEMT practices” research themes. The successful candidate will have: a PhD in Translation Studies/Machine
-
: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
-
work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
-
staff position within a Research Infrastructure? No Offer Description The general objective of the project is to develop a methodology based on artificial intelligence (AI) and a tool for detecting and